代谢途径分析研究进展及其应用

由于缺乏详尽的热力学参数,基于网络拓扑的代谢途径分析是现阶段最重要的途径分析方法。首先简单地介绍了基于网络的途径分析方法发展简史,随后着重说明了基于凸分析的两种代谢途径分析方法：基元模式和极端途径及它们之间的异同,并详细阐述了这两种方法的具体应用。最后,使用极端途径分析了苏云金杆菌的PHB代谢。结果表明,除了传统的途径,还存在一些新颖的途径可用于PHB合成。     

优化极限学习机算法及其在力信息解耦中的应用

高性能解耦算法有助于提高多维力传感器的检测精度。针对传统非线性解耦算法存在精度较低等缺点,对极限学习机算法进行了优化和改进,并将其应用于多维力信息解耦。在基于粒子群和遗传算法两种改进极限学习机算法(PSO-ELM、GA-ELM)的基础上,提出了一种基于天牛须算法的改进极限学习机(BAS-ELM),天牛须算法针对极限学习机隐含层节点参数的每一维进行逐步的优化,使得整体损失函数最小。为验证算法性能,本文以六维力/力矩传感器为实验对象,将各类改进算法应用到力/力矩传感器的非线性解耦中,通过解耦实验可知,与其他算法相比,BAS-ELM解耦精度更高、收敛时间更短,对于非线性解耦具有更强的适应性。     

软件可靠性模型Jelinski－Moranda的计算机实现

Ｊｅｌｉｒｉｓｋｉ一Ｍｏｍｎｄａ模型是软件可靠性模型中的古典模型。本文给出此模型的计算机实现，并引用一个实例对此程序进行验证。     

节假日和极端天气电力负荷特征的萃取模型

负荷预测是电力系统的一个传统研究问题,通常情况下,相近日期的负荷曲线有较强的相似性,然而在特殊节假日和极端气象条件下,负荷的预测具有较强的不确定性。提出了一种节假日和极端天气条件下的电力负荷特征萃取模型,对传统遗传算法的编码机制和遗传操作进行了重新规定。以黑龙江省电网公司的历史负荷数据和气象数据为基础,从中萃取节假日和极端天气对负荷影响的相关规则,并通过实践证明了这些规则的可行性。     

基于CruiseControl的持续集成实现方案

软件的开发过程决定着软件质量。在任何软件开发过程中都有一个重要的组成部分：得到可靠的软件创建版本。在分析传统集成模式的弊端基础上,提出采用持续集成的观点。阐明了持续集成的基础理论以及与持续集成相关的常见的误区和概念。分析了持续集成工具CruiseControl工作原理,最后提出了一种基于CruiseControl的持续集成实现方案。     

巨型浮吊船电力系统动态响应的联想记忆识别

巨型浮吊海洋工程船的作业依赖于船舶电力系统的稳定运行。这类船上大功率变频器、大功率交流电机等设备的大量应用,使得控制系统受干扰影响严重,检测到的动态响应常常含有干扰成分,给电力自动化设备的反馈控制带来了困难。联想记忆具有按信息内容检索的功能,可以模仿人脑进行联想,处理缺损和不确定的信息,具有容错功能。根据联想记忆原理,运用Hopfield网络结构,对Hebb学习规则进行了改进,构建了自联想离散Hopfield网络。该网络通过对动态响应标准样本进行学习,得到了稳定模式,在受干扰污染、信息缺损的巨型浮吊船电力系统动态响应的识别中表现出了良好的滤除干扰的能力。     

Convergent and divergent responses to emotional displays of ingroup and outgroup.

In the present research, we test the assumption that emotional mimicry and contagion are moderated by group membership. We report two studies using facial electromyography (EMG; Study 1), Facial Action Coding System (FACS; Study 2), and self-reported emotions (Study 2) as dependent measures. As predicted, both studies show that ingroup anger and fear displays were mimicked to a greater extent than outgroup displays of these emotions. The self-report data in Study 2 further showed specific divergent reactions to outgroup anger and fear displays. Outgroup anger evoked fear, and outgroup fear evoked aversion. Interestingly, mimicry increased liking for ingroup models but not for outgroup models. The findings are discussed in terms of the social functions of emotions in group contexts. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Can people really “laugh at themselves?”—Experimental and correlational evidence.

Laughing at oneself is considered a core component of the sense of humor in the theories of several authors. In McGhee's (1996) eight-step-training program of the sense of humor, laughing at oneself constitutes one of the most difficult levels. However, until now, only little empirical evidence on laughing at oneself exists. Using a multimethod approach, in the current study, 70 psychology students and a total of 126 peers filled in the Sense of Humor Scale (SHS, McGhee, 1996), containing as a subscale “Laughing at oneself”. In addition, the participants answered the Trait and State forms of the State-Trait-Cheerfulness-Inventory (STCI, Ruch, K?hler, & van Thriel, 1996; Ruch, K?hler, & van Thriel, 1997). They then were confronted with six distorted images of themselves. Facial responses of the participants were videotaped and analyzed using the Facial Action Coding System (FACS, Ekman, Friesen, & Hager, 2002). Four indicators of exhilaration were examined: (a) experienced funniness, (b) AU12 smiles, (c) Duchenne displays, and (d) laughter. Furthermore, fake and masking smiles were studied. Results demonstrated that self- and peer reports of “laughing at oneself” converged moderately. All four indicators of exhilaration were shown, but funniness and laughter seemed to be the most strongly related indicators. Trait cheerfulness and (low) seriousness, and a cheerful mood state formed further characteristics of persons who laugh at themselves. (PsycINFO Database Record (c) 2011 APA, all rights reserved)